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Ciencia de datos de DeepLearning.AI

Explorar34cursos de ciencia de datos en línea y programas de aprendizaje deDeepLearning.AI.

Visión general Coursera

Visión general

DeepLearning.AI is based in Palo Alto, California in the United States.

There are 34 learning opportunities created by DeepLearning.AI to develop your skills and build your data career. Click a course or program below for more information.

Cursos y Programas (34)

Coursera (34)

Advanced Learning Algorithms

30 horas

Principiante

AI For Everyone

12 horas

Principiante

722.065

AI for Medical Diagnosis

20 horas

Intermedio

47.306

AI for Medical Prognosis

31 horas

Intermedio

18.515

AI For Medical Treatment

23 horas

Intermedio

16.237

Analyze Datasets and Train ML Models using AutoML

19 horas

Avanzado

15.075

Building Systems with the ChatGPT API

1 horas

Principiante

Build, Train, and Deploy ML Pipelines using BERT

14 horas

Avanzado

6.743

Calculus for Machine Learning and Data Science

25 horas

Principiante

2.707

Convolutional Neural Networks

39 horas

Intermedio

387.394

Convolutional Neural Networks in TensorFlow

27 horas

Intermedio

101.313

Custom and Distributed Training with TensorFlow

29 horas

Intermedio

9.728

Custom Models, Layers, and Loss Functions with TensorFlow

37 horas

Intermedio

15.234

Data Pipelines with TensorFlow Data Services

16 horas

Intermedio

15.294

Deploying Machine Learning Models in Production

33 horas

Avanzado

7.901

Generative AI for Everyone

6 horas

Principiante

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

26 horas

Intermedio

430.353

Introduction to Machine Learning in Production

10 horas

Avanzado

39.838

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

31 horas

Intermedio

271.578

Linear Algebra for Machine Learning and Data Science

21 horas

Principiante

11.919

Machine Learning Data Lifecycle in Production

22 horas

Avanzado

15.559

Machine Learning Modeling Pipelines in Production

26 horas

Avanzado

8.564

Natural Language Processing with Attention Models

37 horas

Intermedio

33.936

Natural Language Processing with Classification and Vector Spaces

35 horas

Intermedio

92.447

Natural Language Processing with Probabilistic Models

32 horas

Intermedio

39.891

Natural Language Processing with Sequence Models

25 horas

Intermedio

34.689

Neural Networks and Deep Learning

27 horas

Intermedio

1.019.001

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

14 horas

Avanzado

3.753

Probability & Statistics for Machine Learning & Data Science

Principiante

Sequence Models

41 horas

Intermedio

316.041

Sequences, Time Series and Prediction

14 horas

Intermedio

87.268

Structuring Machine Learning Projects

9 horas

Principiante

356.117

Supervised Machine Learning: Regression and Classification

33 horas

Principiante

Unsupervised Learning, Recommenders, Reinforcement Learning

30 horas

Principiante

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Afiliaciones

Stanford University Coursera Andrew Ng Laurence Moroney Luis Serrano Robert Crowe Cristian Bartolomé Arámburu Robert Crowe

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